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Principal Data Scientist - Cloud Gaming and AI - NVIDIA
Data Scientist
Lead the design and delivery of AI‑driven diagnostic and predictive analytics for a cloud gaming platform, leveraging Python, deep learning frameworks, CUDA acceleration, and cloud services to improve performance and user experience.
About the role
Key Responsibilities
- Architect and implement real‑time diagnostic, prescriptive, and predictive analytics pipelines for a large‑scale cloud gaming service.
- Develop and deploy deep learning models for anomaly detection, root‑cause analysis, and performance forecasting using PyTorch or TensorFlow.
- Optimize model inference on NVIDIA GPUs with CUDA, ensuring low latency and high throughput.
- Collaborate with engineering and product teams to integrate AI solutions into the GeForce NOW platform and monitor their impact.
- Design visual analytics dashboards and reporting tools to surface insights for internal stakeholders and end users.
Requirements
- Ph.D. or Master’s in Computer Science, Statistics, or related field with 8+ years of data science experience.
- Expertise in Python, deep learning frameworks (PyTorch/TensorFlow), and GPU programming (CUDA).
- Proven track record building scalable ML pipelines on cloud platforms such as AWS.
- Strong knowledge of machine learning, statistical modeling, and time‑series forecasting.
- Excellent communication skills and ability to translate complex analytics into actionable product improvements.
Skills
pythonpytorchtensorflowcudaawsmachine learningdeep learning